Google Search Grounding with Gemini API | Part 8 | Gemini API Series

Welcome to Part 8 of the ultimate Gemini API series! In this video, we'll break down everything you need to know about Google Search Grounding using the Gemini API, including: Setup: Configure your environment and get started with search grounding in Gemini. Limitations: Learn what to watch out for — paid tier requirements, daily request limits (1,500/day), and pricing beyond the free quota ($35/1,000 requests). What is Search Grounding: Understand why LLMs can sound confident but be wrong, and how grounding connects their answers to real, verifiable information to make responses accurate, current, and trustworthy. Before vs After Search Grounding: See a side-by-side comparison of Gemini answering the same question with and without search grounding — and why the difference matters. Retrieving Citations: Learn how to extract and display source citations from grounded responses so your users can verify the information themselves. Whether you're building AI applications that need real-time data, creating tools that require factual accuracy, or just want to stop your LLM from confidently making things up — this video gives you the foundational knowledge to leverage Google Search Grounding with the Gemini API. 🔗 RESOURCES Google Search Notebook: [https://colab.research.google.com/dri...] Gemini Cookbook on GitHub: https://github.com/google-gemini/cook... Gemini API Documentation: https://ai.google.dev/gemini-api/docs